We released version 2.2.0 of Rancher today, and we’re beyond excited. The latest release is the culmination of almost a year’s work and brings new features to the product that will make your Kubernetes installations more stable and easier to manage.

It would be ideal if every network device you managed across all your client sites was from the same manufacturer, but for most MSPs that’s not the case—over 75% of MSPs manage four or more network vendors for their clients, and some manage upwards of 20. Even though taking care of diverse networks is standard procedure for most service providers, managing gear from multiple vendors is still, well, complex. It means handling different operating systems, different languages, and more.

In this blog post we will go through how you can create plugins for Grafana using ReactJS. This presumes you have some basic knowledge about writing components in React.

An important element of operating Kubernetes is monitoring. Hosted Kubernetes services simplify the deployment and management of clusters, but the task of setting up logging and monitoring is mostly up to us. Yes, Kubernetes offer built-in monitoring plumbing, making it easier to ship logs to either Stackdriver or the ELK Stack, but these two endpoints, as well as the data pipeline itself, still need to be set up and configured.

Like any other creation in progress or in the making, serverless applications, need to be tested and monitored. How else would you know if what you’ve created is providing desired results? Before putting your “newborn child” out into the world, you must make sure that it’s ready for the world. Software or even hardware of any sort will first be tested before it goes to mass production, and the same goes for your serverless applications.

Amazon Elastic Load Balancing ( ELB ) allows you to create load balancers for your application without having to actually manage the servers that do the load balancing. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor Elastic Load Balancing and what is important to watch.

As mobile and IoT deployments play an increasing role in enterprise networks, organizations are looking to more appropriate architecture—such as edge computing—to relieve their security and device management burdens. Edge computing is still in its relative infancy, and the platforms and services needed to orchestrate edge deployments are evolving themselves. In this article, we’ll be looking at some of the issues and available options.

Filters, the mechanism for allowing and denying events to be handled, have been given a refresh in Sensu Go. These new and improved JavaScript filters give you a way to express business logic through filtering, giving you more awareness of your environment, reducing alert fatigue, and improving performance. In this post, I’ll share what’s new with filters, using examples in Sensu Go. (If you haven’t already, you can download it here.)

Sentry recently experienced two minor outages related to database lock-contention: a situation where a process stops executing as it waits on another to release a shared resource they each depend on. It’s kind of like [insert comical metaphor intended to inspire a light-hearted chuckle here].

Maps have been related to the management and monitoring activities of IT platforms for a long time. Years ago, when there were no tools available to generate the graphical vision we call maps, the documentation of the device that made up the platform was usually carried in tables and diagrams where the existence of the components, their characteristics and relationships were recorded.